Gotowe bibliografie tematyczne / Retrieval accuracy

Gotowa bibliografia na temat „Retrieval accuracy”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 20 lutego 2023

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Artykuły w czasopismach na temat "Retrieval accuracy"

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Lipponen, Antti, Tero Mielonen, Mikko R. A. Pitkänen, Robert C. Levy, Virginia R. Sawyer, Sami Romakkaniemi, Ville Kolehmainen i Antti Arola. "Bayesian aerosol retrieval algorithm for MODIS AOD retrieval over land". Atmospheric Measurement Techniques 11, nr 3 (19.03.2018): 1529–47. http://dx.doi.org/10.5194/amt-11-1529-2018.

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Abstract. We have developed a Bayesian aerosol retrieval (BAR) algorithm for the retrieval of aerosol optical depth (AOD) over land from the Moderate Resolution Imaging Spectroradiometer (MODIS). In the BAR algorithm, we simultaneously retrieve all dark land pixels in a granule, utilize spatial correlation models for the unknown aerosol parameters, use a statistical prior model for the surface reflectance, and take into account the uncertainties due to fixed aerosol models. The retrieved parameters are total AOD at 0.55 µm, fine-mode fraction (FMF), and surface reflectances at four different wavelengths (0.47, 0.55, 0.64, and 2.1 µm). The accuracy of the new algorithm is evaluated by comparing the AOD retrievals to Aerosol Robotic Network (AERONET) AOD. The results show that the BAR significantly improves the accuracy of AOD retrievals over the operational Dark Target (DT) algorithm. A reduction of about 29 % in the AOD root mean square error and decrease of about 80 % in the median bias of AOD were found globally when the BAR was used instead of the DT algorithm. Furthermore, the fraction of AOD retrievals inside the ±(0.05+15%) expected error envelope increased from 55 to 76 %. In addition to retrieving the values of AOD, FMF, and surface reflectance, the BAR also gives pixel-level posterior uncertainty estimates for the retrieved parameters. The BAR algorithm always results in physical, non-negative AOD values, and the average computation time for a single granule was less than a minute on a modern personal computer.
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Di Noia, A., O. P. Hasekamp, G. van Harten, J. H. H. Rietjens, J. M. Smit, F. Snik, J. S. Henzing, J. de Boer, C. U. Keller i H. Volten. "Use of neural networks in ground-based aerosol retrievals from multi-angle spectropolarimetric observations". Atmospheric Measurement Techniques 8, nr 1 (14.01.2015): 281–99. http://dx.doi.org/10.5194/amt-8-281-2015.

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Abstract. In this paper, the use of a neural network algorithm for the retrieval of the aerosol properties from ground-based spectropolarimetric measurements is discussed. The neural network is able to retrieve the aerosol properties with an accuracy that is almost comparable to that of an iterative retrieval. By using the outcome of the neural network as first guess in the iterative retrieval scheme, the accuracy of the retrieved fine- and coarse-mode optical thickness is further improved, while for the other parameters the improvement is small or absent. The resulting scheme (neural network + iterative retrieval) is compared to the original one (look-up table + iterative retrieval) on a set of simulated ground-based measurements, and on a small set of real observations carried out by an accurate ground-based spectropolarimeter. The results show that the use of a neural-network-based first guess leads to an increase in the number of converging retrievals, and possibly to more accurate estimates of the aerosol effective radius and complex refractive index.
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Frankenberg, C., O. Hasekamp, C. O'Dell, S. Sanghavi, A. Butz i J. Worden. "Aerosol information content analysis of multi-angle high spectral resolution measurements and its benefit for high accuracy greenhouse gas retrievals". Atmospheric Measurement Techniques Discussions 5, nr 2 (16.04.2012): 2857–85. http://dx.doi.org/10.5194/amtd-5-2857-2012.

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Abstract. New generations of space-borne spectrometers for the retrieval of atmospheric abundances of greenhouse gases require unprecedented accuracies as atmospheric variability of long-lived gases is very low. These instruments, such as GOSAT and OCO-2, typically use a high spectral resolution oxygen channel (O2 A-band) in addition to CO2 and CH4 channels to discriminate changes in the photon path-length distribution from actual trace gas amount changes. Inaccurate knowledge of the photon path-length distribution, determined by scatterers in the atmosphere, is the prime source of systematic biases in the retrieval. In this paper, we investigate the combined aerosol and greenhouse gas retrieval using multiple satellite viewing angles simultaneously. We find that this method, hitherto only applied in multi-angle imagery such as from MISR, greatly enhances the ability to retrieve aerosol properties by 2–3 degrees of freedom. We find that the improved capability to retrieve aerosol parameters significantly reduces interference errors introduced into retrieved CO2 and CH4 total column averages. Instead of focussing solely on improvements in spectral and spatial resolution, signal-to-noise ratios or sampling frequency, multiple angles reduce uncertainty in space based greenhouse gas retrievals more effectively and provide a new potential for dedicated aerosols retrievals.
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Frankenberg, C., O. Hasekamp, C. O'Dell, S. Sanghavi, A. Butz i J. Worden. "Aerosol information content analysis of multi-angle high spectral resolution measurements and its benefit for high accuracy greenhouse gas retrievals". Atmospheric Measurement Techniques 5, nr 7 (27.07.2012): 1809–21. http://dx.doi.org/10.5194/amt-5-1809-2012.

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Abstract. New generations of space-borne spectrometers for the retrieval of atmospheric abundances of greenhouse gases require unprecedented accuracies as atmospheric variability of long-lived gases is very low. These instruments, such as GOSAT and OCO-2, typically use a high spectral resolution oxygen channel (O2 A-band) in addition to CO2 and CH4 channels to discriminate changes in the photon path-length distribution from actual trace gas amount changes. Inaccurate knowledge of the photon path-length distribution, determined by scatterers in the atmosphere, is the prime source of systematic biases in the retrieval. In this paper, we investigate the combined aerosol and greenhouse gas retrieval using multiple satellite viewing angles simultaneously. We find that this method, hitherto only applied in multi-angle imagery such as from POLDER or MISR, greatly enhances the ability to retrieve aerosol properties by 2–3 degrees of freedom. We find that the improved capability to retrieve aerosol parameters significantly reduces interference errors introduced into retrieved CO2 and CH4 total column averages. Instead of focussing solely on improvements in spectral and spatial resolution, signal-to-noise ratios or sampling frequency, multiple angles reduce uncertainty in space based greenhouse gas retrievals more effectively and provide a new potential for dedicated aerosols retrievals.
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Tu, Jinsheng, Haohan Wei, Rui Zhang, Lei Yang, Jichao Lv, Xiaoming Li, Shihai Nie, Peng Li, Yanxia Wang i Nan Li. "GNSS-IR Snow Depth Retrieval from Multi-GNSS and Multi-Frequency Data". Remote Sensing 13, nr 21 (26.10.2021): 4311. http://dx.doi.org/10.3390/rs13214311.

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Global navigation satellite system interferometric reflectometry (GNSS-IR) represents an extra method to detect snow depth for climate research and water cycle managing. However, using a single frequency of GNSS-IR for snow depth retrieval is often found to be challenging when attempting to achieve a high spatial and temporal sensitivity. To evaluate both the capability of the GNSS-IR snow depth retrieved by the multi-GNSS system and multi-frequency from signal-to-noise ratio (SNR) data, the accuracy of snow depth retrieval by different frequency signals from the multi-GNSS system is analyzed, and a joint retrieval is carried out by combining the multi-GNSS system retrieval results. The SNR data of the global positioning system (GPS), global orbit navigation satellite system (GLONASS), Galileo satellite navigation system (Galileo), and BeiDou navigation satellite system (BDS) from the P387 station of the U.S. Plate Boundary Observatory (PBO) are analyzed. A Lomb–Scargle periodogram (LSP) spectrum analysis is used to compare the difference in reflector height between the snow-free and snow surfaces in order to retrieve the snow depth, which is compared with the PBO snow depth. First, the different frequency retrieval results of the multi-GNSS system are analyzed. Then, the retrieval accuracy of the different GNSS systems is analyzed through multi-frequency mean fusion. Finally, the joint retrieval accuracy of the multi-GNSS system is analyzed through mean fusion. The experimental shows that the retrieval results of different frequencies of the multi-GNSS system have a strong correlation with the PBO snow depth, and that the accuracy is better than 10 cm. The multi-frequency mean fusion of different GNSS systems can effectively improve the retrieval accuracy, which is better than 7 cm. The joint retrieval accuracy of the multi-GNSS system is further improved, with a correlation coefficient (R) between the retrieval snow depth and the PBO snow depth of 0.99, and the accuracy is better than 3 cm. Therefore, using multi-GNSS and multi-frequency data to retrieve the snow depth has a good accuracy and feasibility.
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Zhou, Minqiang, Bavo Langerock, Mahesh Kumar Sha, Nicolas Kumps, Christian Hermans, Christof Petri, Thorsten Warneke i in. "Retrieval of atmospheric CH<sub>4</sub> vertical information from ground-based FTS near-infrared spectra". Atmospheric Measurement Techniques 12, nr 11 (25.11.2019): 6125–41. http://dx.doi.org/10.5194/amt-12-6125-2019.

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Abstract. The Total Carbon Column Observing Network (TCCON) column-averaged dry air mole fraction of CH4 (XCH4) measurements have been widely used to validate satellite observations and to estimate model simulations. The GGG2014 code is the standard TCCON retrieval software used in performing a profile scaling retrieval. In order to obtain several vertical pieces of information in addition to the total column, in this study, the SFIT4 retrieval code is applied to retrieve the CH4 mole fraction vertical profile from the Fourier transform spectrometer (FTS) spectrum at six sites (Ny-Ålesund, Sodankylä, Bialystok, Bremen, Orléans and St Denis) during the time period of 2016–2017. The retrieval strategy of the CH4 profile retrieval from ground-based FTS near-infrared (NIR) spectra using the SFIT4 code (SFIT4NIR) is investigated. The degree of freedom for signal (DOFS) of the SFIT4NIR retrieval is about 2.4, with two distinct pieces of information in the troposphere and in the stratosphere. The averaging kernel and error budget of the SFIT4NIR retrieval are presented. The data accuracy and precision of the SFIT4NIR retrievals, including the total column and two partial columns (in the troposphere and stratosphere), are estimated by TCCON standard retrievals, ground-based in situ measurements, Atmospheric Chemistry Experiment – Fourier Transform Spectrometer (ACE-FTS) satellite observations, TCCON proxy data and AirCore and aircraft measurements. By comparison against TCCON standard retrievals, it is found that the retrieval uncertainty of SFIT4NIR XCH4 is similar to that of TCCON standard retrievals with systematic uncertainty within 0.35 % and random uncertainty of about 0.5 %. The tropospheric and stratospheric XCH4 from SFIT4NIR retrievals are assessed by comparison with AirCore and aircraft measurements, and there is a 1.0 ± 0.3 % overestimation in the SFIT4NIR tropospheric XCH4 and a 4.0 ± 2.0 % underestimation in the SFIT4NIR stratospheric XCH4, which are within the systematic uncertainties of SFIT4NIR-retrieved partial columns in the troposphere and stratosphere respectively.
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Strong, K., B. M. Joseph, R. Dosanjh, I. C. McDade, C. A. McLinden, J. C. McConnell, J. Stegman, D. P. Murtagh i E. J. Llewellyn. "Retrieval of vertical concentration profiles from OSIRIS UV–visible limb spectra". Canadian Journal of Physics 80, nr 4 (1.03.2002): 409–34. http://dx.doi.org/10.1139/p01-153.

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The OSIRIS instrument, launched on the Odin satellite in February 2001, includes an optical spectrograph that will record UV–visible spectra of sunlight scattered from the limb over a range of tangent heights. These spectra will be used to retrieve vertical profiles of ozone, NO2, OClO, BrO, NO3, O2, and aerosols, for the investigation of both stratospheric and mesospheric processes, particularly those related to ozone chemistry. In this work, the retrieval of vertical profiles of trace-gas concentrations from OSIRIS limb-radiance spectra is described. A forward model has been developed to simulate these spectra, and it consists of a single-scattering radiative-transfer model with partial spherical geometry, trace-gas absorption, Mie scattering by stratospheric aerosols, a Lambertian surface contribution, and OSIRIS instrument response and noise. Number-density profiles have been retrieved by using optimal estimation (OE) to combine an a priori profile with the information from sets of synthetic ``measurements''. For ozone, OE has been applied both to limb radiances at one or more discrete wavelengths and to effective-column abundances retrieved over a broad spectral range using differential optical absorption spectroscopy (DOAS). The results suggest that, between 15 and 35 km, ozone number densities can be retrieved to 10% accuracy or better on 1 and 2 km grids and to 5% on a 5 km grid. The combined DOAS-OE approach has also been used to retrieve NO2 number densities, yielding 13% accuracy or better for altitudes from 18 to 36 km on a 2 km grid. Differential optical absorption spectroscopy – optimal estimation retrievals of BrO and OClO reproduce the true profiles above 15 km in the noise-free case, but the quality of the retrievals is highly sensitive to noise on the simulated OSIRIS spectra because of the weak absorption of these two gases. The development of inversion methods for the retrieval of trace-gas concentrations from OSIRIS spectra is continuing, and a number of future improvements to the forward model and refinements of the retrieval algorithms are identified. PACS Nos.: 42.68Mj, 94.10Dy
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Matrosov, Sergey Y. "Attenuation-Based Estimates of Rainfall Rates Aloft with Vertically Pointing Ka-Band Radars". Journal of Atmospheric and Oceanic Technology 22, nr 1 (1.01.2005): 43–54. http://dx.doi.org/10.1175/jtech-1677.1.

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Abstract An approach is suggested to retrieve low-resolution rainfall rate profiles and layer-averaged rainfall rates, Ra, from radar reflectivity measurements made by vertically pointing Ka-band radars. This approach is based on the effects of attenuation of radar signals in rain and takes advantage of the nearly linear relation between specific attenuation and rainfall rate at Ka-band frequencies. The variability of this relation due to temperature, details of raindrop size distributions, and the nature of rain (convective versus stratiform) is rather small (∼10%) and contributes little to errors in rainfall rate retrievals. The main contribution to the retrieval errors comes from the uncertainty of the difference in the nonattenuated radar reflectivities in the beginning and the end of the range resolution interval. For 2- and 1-dB uncertainties in this difference, the retrieval errors due to this main contribution are less than 34% and 17%, correspondingly, for rains with Ra ≈ 10 mm h−1 at a 1-km resolution interval. The heavier rain rates are retrieved with a better accuracy since this retrieval error contribution is proportional to 1/Ra. The retrieval accuracy can also be improved but at the expense of more coarse vertical resolutions of retrievals since the main retrieval error contribution is also proportional to the reciprocal of the resolution interval. The Mie scattering effects at Ka band results in less variability in nonattenuated reflectivities (cf. lower radar frequencies), which aids the suggested approach. Given that radar receivers are not saturated, the rainfall rates can be retrieved using cloud radars that were originally designed for measuring only nonprecipitating and weakly precipitating clouds. An important advantage of the attenuation-based retrievals of rainfall is that absolute radar calibration is not required. The inclusion of rainfall information will improve the characterization of the atmospheric column obtained with such radars used for climate research. The applications of the suggested approach are illustrated using the vertically pointing Ka-band radar measurements made during a field experiment in southern Florida. The retrieval results are in good agreement with surface estimates of rainfall rates.
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Roche, Sébastien, Kimberly Strong, Debra Wunch, Joseph Mendonca, Colm Sweeney, Bianca Baier, Sébastien C. Biraud, Joshua L. Laughner, Geoffrey C. Toon i Brian J. Connor. "Retrieval of atmospheric CO<sub>2</sub> vertical profiles from ground-based near-infrared spectra". Atmospheric Measurement Techniques 14, nr 4 (28.04.2021): 3087–118. http://dx.doi.org/10.5194/amt-14-3087-2021.

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Abstract. We evaluate vertical profile retrievals of CO2 from 0.02 cm−1 resolution ground-based near-infrared solar absorption spectra with the GFIT2 algorithm, using improved spectroscopic line lists and line shapes. With these improvements, CO2 profiles were obtained from sequential retrievals in five spectral windows with different vertical sensitivities using synthetic and real spectra. A sensitivity study using synthetic spectra shows that the leading source of uncertainty in the retrieved CO2 profiles is the error in the a priori temperature profile, even with 3-hourly reanalysis a priori profiles. A 2 ∘C error in the temperature profile in the lower troposphere between 0.6 and 0.85 atm causes deviations in the retrieved CO2 profiles that are larger than the typical vertical variations of CO2. To distinguish the effect of errors in the a priori meteorology and trace gas concentration profiles from those in the instrument alignment and spectroscopic parameters, we retrieve CO2 profiles from atmospheric spectra while using an a priori profile built from coincident AirCore, radiosonde, and surface in situ measurements at the Lamont, Oklahoma (USA), Total Carbon Column Observing Network station. In those cases, the deviations in retrieved CO2 profiles are also larger than typical vertical variations of CO2, suggesting that remaining errors in the forward model limit the accuracy of the retrieved profiles. Implementing a temperature retrieval or correction and quantifying and modeling an imperfect instrument alignment are critical to improve CO2 profile retrievals. Without significant advances in modeling imperfect instrument alignment, and improvements in the accuracy of the temperature profile, the CO2 profile retrieval with GFIT2 presents no clear advantage over scaling retrievals for the purpose of ascertaining the total column.
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Leinonen, Jussi, Matthew D. Lebsock, Simone Tanelli, Ousmane O. Sy, Brenda Dolan, Randy J. Chase, Joseph A. Finlon, Annakaisa von Lerber i Dmitri Moisseev. "Retrieval of snowflake microphysical properties from multifrequency radar observations". Atmospheric Measurement Techniques 11, nr 10 (5.10.2018): 5471–88. http://dx.doi.org/10.5194/amt-11-5471-2018.

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Abstract. We have developed an algorithm that retrieves the size, number concentration and density of falling snow from multifrequency radar observations. This work builds on previous studies that have indicated that three-frequency radars can provide information on snow density, potentially improving the accuracy of snow parameter estimates. The algorithm is based on a Bayesian framework, using lookup tables mapping the measurement space to the state space, which allows fast and robust retrieval. In the forward model, we calculate the radar reflectivities using recently published snow scattering databases. We demonstrate the algorithm using multifrequency airborne radar observations from the OLYMPEX–RADEX field campaign, comparing the retrieval results to hydrometeor identification using ground-based polarimetric radar and also to collocated in situ observations made using another aircraft. Using these data, we examine how the availability of multiple frequencies affects the retrieval accuracy, and we test the sensitivity of the algorithm to the prior assumptions. The results suggest that multifrequency radars are substantially better than single-frequency radars at retrieving snow microphysical properties. Meanwhile, triple-frequency radars can retrieve wider ranges of snow density than dual-frequency radars and better locate regions of high-density snow such as graupel, although these benefits are relatively modest compared to the difference in retrieval performance between dual- and single-frequency radars. We also examine the sensitivity of the retrieval results to the fixed a priori assumptions in the algorithm, showing that the multifrequency method can reliably retrieve snowflake size, while the retrieved number concentration and density are affected significantly by the assumptions.
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Rozprawy doktorskie na temat "Retrieval accuracy"

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Mohammadzadeh, Hadi. "Improving Retrieval Accuracy in Main Content Extraction from HTML Web Documents". Doctoral thesis, Universitätsbibliothek Leipzig, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-130500.

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The rapid growth of text based information on the World Wide Web and various applications making use of this data motivates the need for efficient and effective methods to identify and separate the “main content” from the additional content items, such as navigation menus, advertisements, design elements or legal disclaimers. Firstly, in this thesis, we study, develop, and evaluate R2L, DANA, DANAg, and AdDANAg, a family of novel algorithms for extracting the main content of web documents. The main concept behind R2L, which also provided the initial idea and motivation for the other three algorithms, is to use well particularities of Right-to-Left languages for obtaining the main content of web pages. As the English character set and the Right-to-Left character set are encoded in different intervals of the Unicode character set, we can efficiently distinguish the Right-to-Left characters from the English ones in an HTML file. This enables the R2L approach to recognize areas of the HTML file with a high density of Right-to-Left characters and a low density of characters from the English character set. Having recognized these areas, R2L can successfully separate only the Right-to-Left characters. The first extension of the R2L, DANA, improves effectiveness of the baseline algorithm by employing an HTML parser in a post processing phase of R2L for extracting the main content from areas with a high density of Right-to-Left characters. DANAg is the second extension of the R2L and generalizes the idea of R2L to render it language independent. AdDANAg, the third extension of R2L, integrates a new preprocessing step to normalize the hyperlink tags. The presented approaches are analyzed under the aspects of efficiency and effectiveness. We compare them to several established main content extraction algorithms and show that we extend the state-of-the-art in terms of both, efficiency and effectiveness. Secondly, automatically extracting the headline of web articles has many applications. We develop and evaluate a content-based and language-independent approach, TitleFinder, for unsupervised extraction of the headline of web articles. The proposed method achieves high performance in terms of effectiveness and efficiency and outperforms approaches operating on structural and visual features
Das rasante Wachstum von textbasierten Informationen im World Wide Web und die Vielfalt der Anwendungen, die diese Daten nutzen, macht es notwendig, effiziente und effektive Methoden zu entwickeln, die den Hauptinhalt identifizieren und von den zusätzlichen Inhaltsobjekten wie z.B. Navigations-Menüs, Anzeigen, Design-Elementen oder Haftungsausschlüssen trennen. Zunächst untersuchen, entwickeln und evaluieren wir in dieser Arbeit R2L, DANA, DANAg und AdDANAg, eine Familie von neuartigen Algorithmen zum Extrahieren des Inhalts von Web-Dokumenten. Das grundlegende Konzept hinter R2L, das auch zur Entwicklung der drei weiteren Algorithmen führte, nutzt die Besonderheiten der Rechts-nach-links-Sprachen aus, um den Hauptinhalt von Webseiten zu extrahieren. Da der lateinische Zeichensatz und die Rechts-nach-links-Zeichensätze durch verschiedene Abschnitte des Unicode-Zeichensatzes kodiert werden, lassen sich die Rechts-nach-links-Zeichen leicht von den lateinischen Zeichen in einer HTML-Datei unterscheiden. Das erlaubt dem R2L-Ansatz, Bereiche mit einer hohen Dichte von Rechts-nach-links-Zeichen und wenigen lateinischen Zeichen aus einer HTML-Datei zu erkennen. Aus diesen Bereichen kann dann R2L die Rechts-nach-links-Zeichen extrahieren. Die erste Erweiterung, DANA, verbessert die Wirksamkeit des Baseline-Algorithmus durch die Verwendung eines HTML-Parsers in der Nachbearbeitungsphase des R2L-Algorithmus, um den Inhalt aus Bereichen mit einer hohen Dichte von Rechts-nach-links-Zeichen zu extrahieren. DANAg erweitert den Ansatz des R2L-Algorithmus, so dass eine Sprachunabhängigkeit erreicht wird. Die dritte Erweiterung, AdDANAg, integriert eine neue Vorverarbeitungsschritte, um u.a. die Weblinks zu normalisieren. Die vorgestellten Ansätze werden in Bezug auf Effizienz und Effektivität analysiert. Im Vergleich mit mehreren etablierten Hauptinhalt-Extraktions-Algorithmen zeigen wir, dass sie in diesen Punkten überlegen sind. Darüber hinaus findet die Extraktion der Überschriften aus Web-Artikeln vielfältige Anwendungen. Hierzu entwickeln wir mit TitleFinder einen sich nur auf den Textinhalt beziehenden und sprachabhängigen Ansatz. Das vorgestellte Verfahren ist in Bezug auf Effektivität und Effizienz besser als bekannte Ansätze, die auf strukturellen und visuellen Eigenschaften der HTML-Datei beruhen
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Berman, Garrett L. "The influence of processing instructions at encoding and retrieval on face recognition accuracy". FIU Digital Commons, 1992. http://digitalcommons.fiu.edu/etd/1628.

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Whereas previous research has demonstrated that trait ratings of faces at encoding leads to enhanced recognition accuracy as compared to feature ratings, this set of experiments examines whether ratings given after encoding and just prior to recognition influence face recognition accuracy. In Experiment 1 subjects who made feature ratings just prior to recognition were significantly less accurate than subjects who made no ratings or trait ratings. In Experiment 2 ratings were manipulated at both encoding and retrieval. The retrieval effect was smaller and nonsignificant, but a combined probability analysis showed that it was significant when results from both experiments are considered jointly. In a third experiment exposure duration at retrieval, a potentially confounding factor in Experiments 1 and 2, had a nonsignificant effect on recognition accuracy, suggesting that it probably does not explain the results from Experiments 1 and 2. These experiments demonstrate that face recognition accuracy can be influenced by processing instructions at retrieval.
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Zakos, John, i n/a. "A Novel Concept and Context-Based Approach for Web Information Retrieval". Griffith University. School of Information and Communication Technology, 2005. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20060303.104937.

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Web information retrieval is a relatively new research area that has attracted a significant amount of interest from researchers around the world since the emergence of the World Wide Web in the early 1990s. The problems facing successful web information retrieval are a combination of challenges that stem from traditional information retrieval and challenges characterised by the nature of the World Wide Web. The goal of any information retrieval system is to provide an information need fulfilment in response to an information need. In a web setting, this means retrieving as many relevant web documents as possible in response to an inputted query that is typically limited to only containing a few terms expressive of the user's information need. This thesis is primarily concerned with firstly reviewing pertinent literature related to various aspects of web information retrieval research and secondly proposing and investigating a novel concept and context-based approach. The approach consists of techniques that can be used together or independently and aim to provide an improvement in retrieval accuracy over other approaches. A novel concept-based term weighting technique is proposed as a new method of deriving query term significance from ontologies that can be used for the weighting of inputted queries. A technique that dynamically determines the significance of terms occurring in documents based on the matching of contexts is also proposed. Other contributions of this research include techniques for the combination of document and query term weights for the ranking of retrieved documents. All techniques were implemented and tested on benchmark data. This provides a basis for performing comparison with previous top performing web information retrieval systems. High retrieval accuracy is reported as a result of utilising the proposed approach. This is supported through comprehensive experimental evidence and favourable comparisons against previously published results.
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Zakos, John. "A Novel Concept and Context-Based Approach for Web Information Retrieval". Thesis, Griffith University, 2005. http://hdl.handle.net/10072/365878.

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Web information retrieval is a relatively new research area that has attracted a significant amount of interest from researchers around the world since the emergence of the World Wide Web in the early 1990s. The problems facing successful web information retrieval are a combination of challenges that stem from traditional information retrieval and challenges characterised by the nature of the World Wide Web. The goal of any information retrieval system is to provide an information need fulfilment in response to an information need. In a web setting, this means retrieving as many relevant web documents as possible in response to an inputted query that is typically limited to only containing a few terms expressive of the user's information need. This thesis is primarily concerned with firstly reviewing pertinent literature related to various aspects of web information retrieval research and secondly proposing and investigating a novel concept and context-based approach. The approach consists of techniques that can be used together or independently and aim to provide an improvement in retrieval accuracy over other approaches. A novel concept-based term weighting technique is proposed as a new method of deriving query term significance from ontologies that can be used for the weighting of inputted queries. A technique that dynamically determines the significance of terms occurring in documents based on the matching of contexts is also proposed. Other contributions of this research include techniques for the combination of document and query term weights for the ranking of retrieved documents. All techniques were implemented and tested on benchmark data. This provides a basis for performing comparison with previous top performing web information retrieval systems. High retrieval accuracy is reported as a result of utilising the proposed approach. This is supported through comprehensive experimental evidence and favourable comparisons against previously published results.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
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Gwyer, Pat. "The effects of retrieval procedures on recall, recognition, confidence and the confidence/accuracy relationship". Thesis, University of East London, 1997. http://roar.uel.ac.uk/1281/.

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Six separate experiments were conducted to investigate the effects of specific retrieval procedures on recall, recognition, confidence and the confidence / accuracy relationship for these retrieval domains. In experiment I the effects of retrieval procedures were considered as part of a recognised police interview technique, the Cognitive Interview (CI), while in experiments 11,111, and IV the retrieval procedures involved discrete context manipulations. Experiments V and VI focused exclusively on the confidence / accuracy relationship for recall as a function of specific retrieval procedures and question type. Results indicated that although frequently improving the quality and quantity of recall, the Cl and other types of context reinstatement manipulation did not reliably improve recognition accuracy from lineup presentations, nor did they have a significant moderating effect upon the confidence / accuracy relationship. However in experiment TV in which a long (three month) delay was utilised significant effects of context manipulation on recognition performance were found. With regard to confidence, experiment I indicated that the Cl was responsible for a significant increase in confidence of recall but not recognition. Results from experiments II, III, and iv indicated non consistent effects of context manipulation on confidence, rating-q for either recall and recognition. With regard to the confidence / accuracy relationship, results from the initial five experiments indicated that in very few instances was confidence and accuracy significantly related. However, in experiment VI confidence and accuracy was found to be reliably and consistently related The most important finding to emerge from this research suggests the retrieval procedure undergone by a witness (interactive interview / passive questionnaire), to be an important moderator of the confidence / accuracy relationship. As such the results are supportive of Leippe's (1980) two premises in which it is suggested that as reconstructional and social influences increase, the confidence / accuracy relationship will correspondingly decrease
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Begovic, Ena. "Encoding Style of Positive Autobiographical Memories: Relationship to Mood Repair, Memory Functioning, and Depression". Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6464.

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The recall of positive autobiographical memories is an effective strategy for improving negative mood among healthy persons, yet individuals with a history of depression often fail to derive emotional benefits. Depressed and depression-vulnerable individuals also exhibit deficits in their autobiographical memory characteristics. Scholars have implicated deficits during autobiographical memory retrieval as a cause of mood repair and memory impairments, however the role of memory encoding has largely been overlooked. The current study manipulated encoding style to examine subsequent effects on mood repair efficacy, memory characteristics, and memory accuracy. Fifty-five formerly depressed and 68 never-depressed participants were assigned to employ either a concrete or natural encoding style while engaging in a positive event staged in the laboratory. After a negative mood induction, participants were given the opportunity to improve their moods by recalling details of the positive event. Results failed to support the hypothesized interaction of depression status and encoding style. Interpretations of the null findings are provided and implications of the study are discussed.
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Morgart, Arianna Paige. "Lexical access in aphasia: impacts of phonological neighborhood density on accuracy of word production". Thesis, University of Iowa, 2015. https://ir.uiowa.edu/etd/1704.

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Verbal communication relies heavily on the ability to effortlessly produce intended words to express a meaning. This capacity is frequently impaired in individuals with aphasia, and impairment often lasts well into the chronic stages. However, the nature of anomia can vary. Phonological neighborhood density (PND) is one feature of words which has been shown to impact the ease of retrieval in speakers with aphasia; words with more similar-sounding neighbors are easier to retrieve because the neighbors help activate the target. However, it is unclear how different types of lexical access breakdowns affect the impact of PND. The aim of this project was to analyze the relationship between word retrieval accuracy, speech error patterns, and PND in individuals with aphasia. Twenty-two participants with various types and severities of aphasia named 200 single-syllable line drawings. WebFit, an online software program designed to fit naming data to a theoretical model of word retrieval, was used to characterize participants' error patterns by calculating the strength of connections within the lexicon, as well as the rate of decay. Analyses confirmed previous findings that participants with all types of breakdown achieved lower rates of overall accuracy. Weaker connections between semantic knowledge and words resulted in a more errors that were close to the target, relative to errors with no relationship to the target. Individuals with more severe impairments of the semantic-lexical connections and the lexical-phonological connections produced words with many neighbors more accurately than words with fewer neighbors. Implications for initial therapy target selection and directions for further research are discussed.
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Risius, Uda-Mareke [Verfasser]. "Memory accuracy : A 7-Tesla fMRI approach to memory accuracy ; retrieval, monitoring and control processes / Uda-Mareke Risius. Fakultät für Psychologie und Sportwissenschaft - Arbeitseinheit 14 - Physiologische Psychologie". Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2011. http://d-nb.info/1015183646/34.

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Holmes, Jason. "Measuring the accuracy of four attributes of sound for conveying changes in a large data set". Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4154/.

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Human auditory perception is suited to receiving and interpreting information from the environment but this knowledge has not been used extensively in designing computer-based information exploration tools. It is not known which aspects of sound are useful for accurately conveying information in an auditory display. An auditory display was created using PD, a graphical programming language used primarily to manipulate digital sound. The interface for the auditory display was a blank window. When the cursor is moved around in this window, the sound generated would changed based on the underlying data value at any given point. An experiment was conducted to determine which attribute of sound most accurately represents data values in an auditory display. The four attributes of sound tested were frequency-sine waveform, frequency-sawtooth waveform, loudness and tempo. 24 subjects were given the task of finding the highest data point using sound alone using each of the four sound treatments. Three dependent variables were measured: distance accuracy, numeric accuracy, and time on task. Repeated measures ANOVA procedures conducted on these variables did not rise to the level of statistical significance (α=.05). None of the sound treatments was more accurate than the other as representing the underlying data values. 52% of the trials were accurate within 50 pixels of the highest data point (target). An interesting finding was the tendency for the frequency-sin waveform to be used in the least accurate trial attempts (38%). Loudness, on the other hand, accounted for very few (12.5%) of the least accurate trial attempts. In completing the experimental task, four different search techniques were employed by the subjects: perimeter, parallel sweep, sector, and quadrant. The perimeter technique was the most commonly used.
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Mohammadzadeh, Hadi [Verfasser], Gerhard [Akademischer Betreuer] Heyer, Gerhard [Gutachter] Heyer i Jinan [Gutachter] Fiaidhi. "Improving Retrieval Accuracy in Main Content Extraction from HTML Web Documents / Hadi Mohammadzadeh ; Gutachter: Gerhard Heyer, Jinan Fiaidhi ; Betreuer: Gerhard Heyer". Leipzig : Universitätsbibliothek Leipzig, 2013. http://d-nb.info/1237818303/34.

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Książki na temat "Retrieval accuracy"

1

Edward, Fekpe, National Research Council (U.S.). Transportation Research Board. i National Cooperative Highway Research Program., red. Quality and accuracy of positional data in transportation. Washington, D.C: Transportation Research Board, National Research Council, 2003.

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Montana. Legislature. Legislative Audit Division. Consolidated environmental data access and retrieval system: Verification of data accuracy and integrity, Department of Environmental Quality : information systems audit. Helena, Mont: Legislative Audit Division, 2009.

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Division, Montana Legislature Legislative Audit. Consolidated environmental data access and retrieval system: Verification of data accuracy and integrity, Department of Environmental Quality : information systems audit. Helena, Mont: Legislative Audit Division, 2009.

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Draper, Gene. Accuracy and completeness of Texas computerized criminal history records. Austin, Tex: Criminal Justice Policy Council, 1996.

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California. Bureau of State Audits. California law enforcement and correctional agencies: With increased efforts, they could improve the accuracy and completeness of public information on sex offenders. Sacramento (555 Capitol Mall, Sacramento 95814): California State Auditor, Bureau of State Audits, 2003.

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Goldsmith, Morris. Metacognitive Quality-Control Processes in Memory Retrieval and Reporting. Redaktorzy John Dunlosky i Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.28.

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Quality control in memory retrieval and reporting is achieved both by “back-end” processes designed to identify and screen out defective (false) retrieval products and by “front-end” processes that attempt to prevent the retrieval of false information in the first place. Front-end processes utilize metacognitive knowledge in choosing an appropriate retrieval strategy and in specifying and applying effective and constraining retrieval cues. Back-end processes monitor the correctness of the retrieved information and on that basis, together with strategic considerations concerning the perceived payoffs for accuracy and informativeness, control whether or not to report the retrieved information and if so, at what level of precision to report it. This chapter presents a selective overview of research and theory on these complementary aspects of memory quality control, guided by an overarching metacognitive framework that delineates the underlying metacognitive mechanisms and their potential contributions to the quantity and accuracy of information reported from memory.
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Gallo, David A., i James M. Lampinen. Three Pillars of False Memory Prevention. Redaktorzy John Dunlosky i Sarah (Uma) K. Tauber. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199336746.013.11.

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Conscious recollections of past experiences are prone to distortion, but retrieval monitoring processes help control memory accuracy and avoid false memories. This chapter overviews the metacognitive aspects of three retrieval processes that are fundamental for determining whether or not a questionable event had occurred in one’s past: (1) selectively searching memory for evidence of the questionable event (orientation), (2) diagnosing the validity of retrieved evidence by comparing it to one’s expectations about the questionable event’s memorability (evaluation), and (3) using various kinds of collateral information to converge upon the truth (corroboration). Such collateral information could include recollections of surrounding events that confirm or disqualify the questionable event’s occurrence, as well as other kinds of knowledge pertaining to the questionable event’s likelihood or plausibility. The chapter discusses laboratory research on each of these processes and considers how these processes recursively interact when remembering the more complex autobiographical events of our lives.
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McCarroll, Christopher. Being Faithful to the Past. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190674267.003.0002.

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Observer perspectives are used as a departure point for developing a dual-faceted framework for thinking about personal memory: the Constructive Encoding approach, which emphasizes the multiple sources of information available to memory at encoding; and the Reconstructive Retrieval approach, which stresses how the context of retrieval can affect the content of memory. Observer perspective memories are defended from two related objections (the argument from perceptual impossibility and the argument from perceptual preservation) by drawing on the insights of this dual-faceted framework. This chapter shows that memory can be (re)constructive, dynamic, and flexible, but also accurate and faithful to the past.
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Anderson, James A. Brain Theory. Oxford University Press, 2018. http://dx.doi.org/10.1093/acprof:oso/9780199357789.003.0013.

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The elementary particles of cognition are concepts. Simple, accurate association alone can be misleading. Cognitive concepts work as valuable cognitive data compression, for example, giving a set of related items the same class name: tables, chairs, birds. Cognitive concepts also contain internal structure with good and bad examples and have fuzzy edges. Concepts can be associatively linked in semantic networks to store and retrieve information. Cognition using networks is an active search process and need not require further learning to be useful. Low-level concepts can lead to the formation of higher level abstractions. An experiment by Deidre Gentner involves perception of identity in pairs of items; some pairs the same and some not. Seeing many identical pairs allows the abstraction of “identity.” The abstract relationship “identity” can then become more powerful than the details of any single example pair.
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Nešković, Aleksandar N., i Andreas Hagendorff. Echocardiography in the emergency room. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199599639.003.0026.

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Echocardiography can provide rapid and accurate assessment of cardiac morphology and haemodynamics under stressful conditions in the emergency room (ER). Using this information, critical decisions regarding management of cardiovascular emergencies and the critically ill are made. To avoid potentially catastrophic errors with medicolegal consequences, adequate education and experience in echocardiography and cardiology are required and teamwork is encouraged. In addition, emergency cases must be well documented and this documentation stored and retrievable. Transthoracic echocardiography is the main source of the information in the emergency setting, while transoesophageal, contrast, and stress echocardiography are used when needed and in special circumstances.In this chapter, the principles, practice, and specific considerations related to echocardiography in the ER are discussed and a brief overview of echocardiographic assessment in cardiac emergencies is provided. Detailed information regarding echocardiographic features of particular cardiovascular diseases and conditions that may be presented to the emergency physician in the ER can be found elsewhere in this book in the related chapters.
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Części książek na temat "Retrieval accuracy"

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Shaikh, Anwar D., Mukul Jain, Mukul Rawat, Rajiv Ratn Shah i Manoj Kumar. "Improving Accuracy of SMS Based FAQ Retrieval System". W Multilingual Information Access in South Asian Languages, 142–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40087-2_14.

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Flores, Felipe N., Viviane P. Moreira i Carlos A. Heuser. "Assessing the Impact of Stemming Accuracy on Information Retrieval". W Lecture Notes in Computer Science, 11–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12320-7_2.

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Fowler, Carol B., Jeffrey T. Mason i Timothy J. O'leary. "Design of a Tissue Surrogate to Examine Accuracy of Proteomic Analysis". W Antigen Retrieval Immunohistochemistry Based Research and Diagnostics, 235–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470875612.ch14.

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Colace, Francesco, Massimo De Santo, Luca Greco i Paolo Napoletano. "Improving Text Retrieval Accuracy by Using a Minimal Relevance Feedback". W Communications in Computer and Information Science, 126–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37186-8_8.

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Jiang, Ruobing, Yanmin Zhu, Hongjian Wang, Min Gao i Lionel M. Ni. "Compressive Data Retrieval with Tunable Accuracy in Vehicular Sensor Networks". W Wireless Algorithms, Systems, and Applications, 426–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39701-1_35.

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Yang, Heng, Qing Wang i Zhoucan He. "Indexing Large Visual Vocabulary by Randomized Dimensions Hashing for High Quantization Accuracy: Improving the Object Retrieval Quality". W Computer Analysis of Images and Patterns, 783–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03767-2_95.

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Wang, Jingxu, Bing Wang, Yangyang Liu i Huaguo Huang. "Analysis of Slope and NDVI Effects on Land Surface Temperature Retrieval Accuracy in Mountain Area Based on WIS Data of Tiangong-2". W Proceedings of the Tiangong-2 Remote Sensing Application Conference, 180–91. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-3501-3_17.

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Sabbah, Thabit, i Ali Selamat. "Modified Frequency-Based Term Weighting Scheme for Accurate Dark Web Content Classification". W Information Retrieval Technology, 184–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12844-3_16.

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Zuk, Or, Amnon Amir, Amit Zeisel, Ohad Shamir i Noam Shental. "Accurate Profiling of Microbial Communities from Massively Parallel Sequencing Using Convex Optimization". W String Processing and Information Retrieval, 279–97. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02432-5_31.

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Geraci, Filippo, Marco Pellegrini, Marco Maggini i Fabrizio Sebastiani. "Cluster Generation and Cluster Labelling for Web Snippets: A Fast and Accurate Hierarchical Solution". W String Processing and Information Retrieval, 25–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11880561_3.

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Streszczenia konferencji na temat "Retrieval accuracy"

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Acton, Daniel Scott. "Accuracy in Optical Phase Retrieval". W Computational Optical Sensing and Imaging. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/cosi.2019.cm1a.5.

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Shah, Chirag, i W. Bruce Croft. "Evaluating high accuracy retrieval techniques". W the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1008996.

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Zhao, Futao, Zhong Yao, Biao Xu i Pengfei Tang. "Exploring Fairness and Accuracy of Retrieval Models". W 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE, 2018. http://dx.doi.org/10.1109/fskd.2018.8687122.

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Matveeva, Irina, Chris Burges, Timo Burkard, Andy Laucius i Leon Wong. "High accuracy retrieval with multiple nested ranker". W the 29th annual international ACM SIGIR conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1148170.1148246.

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Zhu, Hao, i Shenghua Gao. "Locality Constrained Deep Supervised Hashing for Image Retrieval". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/499.

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Deep Convolutional Neural Network (DCNN) based deep hashing has shown its success for fast and accurate image retrieval, however directly minimizing the quantization error in deep hashing will change the distribution of DCNN features, and consequently change the similarity between the query and the retrieved images in hashing. In this paper, we propose a novel Locality-Constrained Deep Supervised Hashing. By simultaneously learning discriminative DCNN features and preserving the similarity between image pairs, the hash codes of our scheme preserves the distribution of DCNN features thus favors the accurate image retrieval.The contributions of this paper are two-fold: i) Our analysis shows that minimizing quantization error in deep hashing makes the features less discriminative which is not desirable for image retrieval; ii) We propose a Locality-Constrained Deep Supervised Hashing which preserves the similarity between image pairs in hashing.Extensive experiments on the CIFARA-10 and NUS-WIDE datasets show that our method significantly boosts the accuracy of image retrieval, especially on the CIFAR-10 dataset, the improvement is usually more than 6% in terms of the MAP measurement. Further, our method demonstrates 10 times faster than state-of-the-art methods in the training phase.
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Liu, Jinli, Zhehu Cui, Daren Lu, Zhigang Han, Ling Zhang i Minzheng Duan. "Accuracy of rainfall retrieval of tropical stratified clouds". W Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, redaktorzy Tadahiro Hayasaka, Dong L. Wu, Yaqiu Jin i JingShang Jiang. SPIE, 1998. http://dx.doi.org/10.1117/12.319463.

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Loria, Eric, Andrew O'Brien, Valery Zavorotny, Marco Lavalle, Clara Chew, Rashmi Shah i Cinzia Zuffada. "Analysis of Wetland Extent Retrieval Accuracy Using Cygnss". W IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019. http://dx.doi.org/10.1109/igarss.2019.8898132.

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Russell, James M. "LIMS and HALOE retrieval methods". W OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/oam.1985.fc3.

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The LIMS experiment was launched on the Nimbus 7 satellite to sound the upper atmosphere composition and structure. Broadband earth horizon radiance profiles were measured in the infrared and later ground-processed to infer vertical profiles of temperature and the mixing ratios of O3, H2O, NO2, and HNO3. A key to successful retrieval of information from the radiances is a fast radiative transfer code that will allow sufficient iterations and provide essentially line-by-line transmittance calculation accuracy. The LIMS radiances were calculated using the emissivity growth approximation (EGA) technique, which is based on use of a precalculated data base developed for a wide range of temperature and pressure. This method was used in combination with an onion peeling retrieval technique that does not rely on a prior statistical knowledge. The HALOE experiment will be launched on the UARS satellite in late 1989 to measure vertical profiles of stratosphere O3, HCI, HF, CH4, H2O, NO, and NO2. Unlike LIMS, HALOE uses solar occultation measurements made by both broadband and gas filter correlation radiometry. Retrievals using the correlation measurements require high spectral resolution calculations, and the process can be very time-consuming and expensive in an iterative approach. The FIALOE processing will use a combination of the LIMS EGA method and a fast narrowband line-by-line method to provide the required speed and accuracy in the radiative transfer calculations. The onion peeling retrieval approach and another scheme, which uses information from all tangent altitudes simultaneously, are currently being evaluated.
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Silva, Pedro, Sepehr Akhavan-Masouleh i Li Li. "Improving Malware Detection Accuracy by Extracting Icon Information". W 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2018. http://dx.doi.org/10.1109/mipr.2018.00088.

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Liu, Beibei, Yingjie Yu, Wenjing Zhou i Xiaoyan Wu. "Accuracy analysis of phase retrieval using Fourier transform method". W International Symposium on Precision Engineering Measurement and Instrumentation, redaktorzy Junning Cui, Jiubin Tan i Xianfang Wen. SPIE, 2015. http://dx.doi.org/10.1117/12.2181197.

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Raporty organizacyjne na temat "Retrieval accuracy"

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Allan, James. HARD Track Overview in TREC 2003 High Accuracy Retrieval from Documents. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2005. http://dx.doi.org/10.21236/ada439446.

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Allan, James. HARD Track Overview in TREC 2004: High Accuracy Retrieval from Documents. Fort Belvoir, VA: Defense Technical Information Center, styczeń 2004. http://dx.doi.org/10.21236/ada455426.

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Deng, Chun, Zhenyu Zhang, Zhi Guo, Hengduo Qi, Yang Liu, Haimin Xiao i Xiaojun Li. Assessment of intraoperative use of indocyanine green fluorescence imaging on the number of lymph node dissection during minimally invasive gastrectomy: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, listopad 2021. http://dx.doi.org/10.37766/inplasy2021.11.0062.

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Review question / Objective: Whether is indocyanine green fluorescence imaging-guided lymphadenectomy feasible to improve the number of lymph node dissections during radical gastrectomy in patients with gastric cancer undergoing curative resection? Condition being studied: Gastric cancer was the sixth most common malignant tumor and the fourth leading cause of cancer-related death in the world. Radical lymphadenectomy was a standard procedure in radical gastrectomy for gastric cancer. The retrieval of more lymph nodes was beneficial for improving the accuracy of tumor staging and the long-term survival of patients with gastric cancer. Indocyanine green(ICG) near-infrared fluorescent imaging has been found to provide surgeons with effective visualization of the lymphatic anatomy. As a new surgical navigation technique, ICG near-infrared fluorescent imaging was a hot spot and had already demonstrated promising results in the localization of lymph nodes during surgery in patients with breast cancer, non–small cell lung cancer, and gastric cancer. In addition, ICG had increasingly been reported in the localization of tumor, lymph node dissection, and the evaluation of anastomotic blood supply during radical gastrectomy for gastric cancer. However, it remained unclear whether ICG fluorescence imaging would assist surgeons in performing safe and sufficient lymphadenectomy.
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Zhang, Jerry. Large Scale Image Retrieval in Urban Environments with Pixel Accurate Image Tagging. Fort Belvoir, VA: Defense Technical Information Center, grudzień 2011. http://dx.doi.org/10.21236/ada558987.

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Vilca-Alosilla, Juan Jeferson, Mayron Antonio Candia-Puma, Katiusca Coronel-Monje, Luis Daniel Goyzueta-Mamani, Alexsandro Sobreira Galdino, Ricardo Andrez Machado-de-Ávila, Rodolfo Cordeiro Giunchetti, Eduardo Antonio Ferraz Coelho i Miguel Angel Chávez-Fumagalli. Comparing the accuracy of COVID-19 diagnostic tests: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, listopad 2022. http://dx.doi.org/10.37766/inplasy2022.11.0090.

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Review question / Objective: The present study aims to systematically review and summarize the available literature on the diagnostic accuracy of COVID-19 diagnostic tests. To do this, a systematic review of the medical literature was carried out between 2020 and 2021. The results were analyzed through a meta-analysis based on the techniques developed and used in the diagnosis of COVID-19. Eligibility criteria: The studies were selected in three stages. In the first, non-English language articles, duplicate articles, reviews, and meta-analyses were excluded, only articles published between 2020 and 2021 conducted on humans were included. In the second stage, the titles and ab-stracts of the articles selected through the search strategy were examined. Finally, the highly relevant full studies were retrieved and separated from the articles with a title or abstract that did not provide sufficient data to be included.
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Candia-Puma, Mayron Antonio, Laura Yesenia Machaca-Luque, Brychs Milagros Roque-Pumahuanca, Alexsandro Sobreira Galdino, Rodolfo Cordeiro Giunchetti, Eduardo Antonio Ferraz Coelho i Miguel Angel Chávez-Fumagalli. Accuracy of the diagnostic tests for the detection of Chagas disease: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, wrzesień 2022. http://dx.doi.org/10.37766/inplasy2022.9.0132.

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Review question / Objective: The objective of the current work is to systematically review and summarize the available literature on the diagnostic accuracy of diagnostic tests for Chagas Disease. Eligibility criteria: The studies were selected in three stages. In the first, non-English language articles, duplicate articles, reviews, and meta-analyses were excluded, only articles published after 1990 and conducted on humans were included. In the second stage, the titles and ab-stracts of the articles selected through the search strategy were examined. Finally, the highly relevant full studies were retrieved and separated from the articles with a title or abstract that did not provide sufficient data to be included.
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Bonfil, David J., Daniel S. Long i Yafit Cohen. Remote Sensing of Crop Physiological Parameters for Improved Nitrogen Management in Semi-Arid Wheat Production Systems. United States Department of Agriculture, styczeń 2008. http://dx.doi.org/10.32747/2008.7696531.bard.

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To reduce financial risk and N losses to the environment, fertilization methods are needed that improve NUE and increase the quality of wheat. In the literature, ample attention is given to grid-based and zone-based soil testing to determine the soil N available early in the growing season. Plus, information is available on in-season N topdressing applications as a means of improving GPC. However, the vast majority of research has focused on wheat that is grown under N limiting conditions in sub-humid regions and irrigated fields. Less attention has been given to wheat in dryland that is water limited. The objectives of this study were to: (1) determine accuracy in determining GPC of HRSW in Israel and SWWW in Oregon using on-combine optical sensors under field conditions; (2) develop a quantitative relationship between image spectral reflectance and effective crop physiological parameters; (3) develop an operational precision N management procedure that combines variable-rate N recommendations at planting as derived from maps of grain yield, GPC, and test weight; and at mid-season as derived from quantitative relationships, remote sensing, and the DSS; and (4) address the economic and technology-transfer aspects of producers’ needs. Results from the research suggest that optical sensing and the DSS can be used for estimating the N status of dryland wheat and deciding whether additional N is needed to improve GPC. Significant findings include: 1. In-line NIR reflectance spectroscopy can be used to rapidly and accurately (SEP <5.0 mg g⁻¹) measure GPC of a grain stream conveyed by an auger. 2. On-combine NIR spectroscopy can be used to accurately estimate (R² < 0.88) grain test weight across fields. 3. Precision N management based on N removal increases GPC, grain yield, and profitability in rainfed wheat. 4. Hyperspectral SI and partial least squares (PLS) models have excellent potential for estimation of biomass, and water and N contents of wheat. 5. A novel heading index can be used to monitor spike emergence of wheat with classification accuracy between 53 and 83%. 6. Index MCARI/MTVI2 promises to improve remote sensing of wheat N status where water- not soil N fertility, is the main driver of plant growth. Important features include: (a) computable from commercial aerospace imagery that include the red edge waveband, (b) sensitive to Chl and resistant to variation in crop biomass, and (c) accommodates variation in soil reflectance. Findings #1 and #2 above enable growers to further implement an efficient, low cost PNM approach using commercially available on-combine optical sensors. Finding #3 suggests that profit opportunities may exist from PNM based on information from on-combine sensing and aerospace remote sensing. Finding #4, with its emphasis on data retrieval and accuracy, enhances the potential usefulness of a DSS as a tool for field crop management. Finding #5 enables land managers to use a DSS to ascertain at mid-season whether a wheat crop should be harvested for grain or forage. Finding #6a expands potential commercial opportunities of MS imagery and thus has special importance to a majority of aerospace imaging firms specializing in the acquisition and utilization of these data. Finding #6b on index MCARI/MVTI2 has great potential to expand use of ground-based sensing and in-season N management to millions of hectares of land in semiarid environments where water- not N, is the main determinant of grain yield. Finding #6c demonstrates that MCARI/MTVI2 may alleviate the requirement of multiple N-rich reference strips to account for soil differences within farm fields. This simplicity will be less demanding of grower resources, promising substantially greater acceptance of sensing technologies for in-season N management.
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